Date : April 9, 2020, 1 p.m. - Room :Visio-conférence

Multiplex Network Community Detection: Approaches & Applications

Issam FALIH - MC LIMOS, Université Clermont Auvergne

Multiplex network model has been recently proposed as a mean to capture high level complexity in real world interaction networks.

This model, in spite of its simplicity, allows handling multi-relationnal, heterogeneous, dynamic and even attributed networks. However, it requiers redefining and adapting almost all basic metrics and algorithms generally used to analyse complex networks.

In this presentation, firstly i will motivate the interest in the study of this issue, then I’ll review the main approaches proposed to deal with this problem.